Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.5 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BLIJLEVENS Jeroen | 70 |
| 2 | CIPOLLINI Mario | 77 |
| 5 | BARTHE Stéphane | 65 |
| 6 | SMETANINE Serguei | 69 |
| 7 | FAGNINI Gian Matteo | 70 |
| 8 | ZABEL Erik | 69 |
| 9 | VELO Marco | 70 |
| 10 | PICCOLI Mariano | 64 |